Collect daily meteorological data from 1980 to 2018 from the Meteorological Data Sharing Center of China Meteorological Administration. Humidity Index (HI) is calculated by the ratio of annual precipitation to potential evapotranspiration. Anusplin interpolation software is used to obtain a spatial dataset of HI 1km resolution.Through spatial data collection, model simulation of the spatiotemporal pattern of typical water and soil ecosystem services such as ecosystem production, carbon fixation, hydrological regulation, and soil conservation, revealing the spatiotemporal change pattern of water and soil ecosystem services in the watershed, combining climate change, socioeconomic data and ecological environmental protection policies Implementation, land use conversion and other factors, combined with trade-off analysis and structural equation modeling to quantify the trade-offs and synergies of these water and soil ecosystem services and their main driving forces, to provide more effective and scientific ecological protection and multi-purpose land use for Ruoergai Wetland Optimal management provides theoretical support.

File naming and required software

File naming: The data is stored in raster format, and the file name is HI_XXXXyear. HI stands for humidity index; XXXX stands for year; for example, HI_2011year represents the humidity index data in 2011. Data reading method: All files in the data set can be directly opened with ArcGIS. During the reading process, a grid format file will be generated, and the displayed grid file is the graphic representation of the file.

Data Citations Data citation guideline What's data citation?

Cite as:

Hu, J. (2021). The 1km annual humidity index data set of Zoige Plateau (1980-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.271498. CSTR: 18406.11.Meteoro.tpdc.271498. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.Zhang, B.Q, Xia, Y.L., Huning, L.S., Wei, J.H., Wang, G.Q., and AghaKouchak, A. (2019). A framework for global multicategory and multiscalar drought characterization accounting for snow processes. Water Resources Research, 55, 9258-9278. https://doi.org/10.1029/2019WR025529. (View Details )

Support Program

Second Tibetan Plateau Scientific Expedition Program

Copyright & License

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)